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-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping systems for challenging
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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concerning the design of particle accelerators for research, medical and industrial applications, - participation in research tasks carried out in the ZNS concerning high-power RF systems; - participation in
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Station. Operating expenditures for the College as a whole are close to $200 million annually. Under the auspices of the College of Engineering Dean’s Office, Richmond Field Station (RFS) Operations and
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direction for the Engineering Group Leaders of the Radio Frequency Cavity (RF), Controls, Instrumentation, Mechanical, Magnet, Electrical, and Vacuum Groups within the EIC Technical Systems Division
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responsibilities will be to: conduct original research in integrated nonlinear and analogue photonics as part of a collaborative research team develop advanced RF photonic signal processing concepts and on chip
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/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint
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optical modulators. FPGA support to the team. Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldEngineering
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, particularly for comparative analysis with THz bands, where RF signals exhibit quasi-optical properties. The PDA is expected to actively disseminate results through publications in high-impact journals and
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funded PhD position in the area of RF-sensing for ambient IoT devices and coexistence with legacy devices. The successful candidate will contribute to ongoing activities of thePervasive Wireless Systems